CN110087087A - VVC interframe encode unit prediction mode shifts to an earlier date decision and block divides and shifts to an earlier date terminating method - Google Patents
VVC interframe encode unit prediction mode shifts to an earlier date decision and block divides and shifts to an earlier date terminating method Download PDFInfo
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Abstract
The present invention " VVC interframe encode unit prediction mode shifts to an earlier date decision and block divides and shifts to an earlier date terminating method " is by the motion change between analysis video frame, by the comparison to coding depth Coding cost of inter-frame forecast mode in the comparison and selected optimization model and next code depth of rate distortion costs between each prediction mode in 1 interframe encode unit, inspection to inter-frame forecast mode coding cost is directly skipped for qualified coding unit, to reduce computation complexity.In addition the optimal dividing size of current coded unit is also predicted by the ratio relation to rate distortion costs between coding unit present encoding depth and selected optimal prediction modes and each prediction mode, pass through the termination in advance divided to coding unit, come the recurrence partition process for avoiding computation complexity high, to reduce the computation complexity of its encoder, under the premise of not influencing video encoding quality, the time-consuming of encoder can be effectively reduced, code efficiency is improved.
Description
Technical field
The present invention relates to Multifunction videos to encode the field, in particular to VVC (Versatile Video Coding, VVC)
The prediction mode of interframe encode unit shifts to an earlier date decision and block divides halfway stopping technique.
Background technique
In recent years, as the development of VR technology and consumer are increasing for the demand for watching 360 degree of panoramic videos,
Also there is explosive growth in content on internet about 360 degree of panoramic videos.And 360 degree of now most general panoramic video lattice
Formula and traditional two-dimensional surface video have biggish difference.With equidistant projection (EquiRectangular the most popular
Projection, ERP) for format, due to Special Projection mode, so there are a degree of changes for its video content
Shape is then deformed closer to the top of image and lower section and is more obvious.In addition, more true and have feeling of immersion in order to bring spectators
Viewing experience, the resolution ratio and frame per second of general 360 degree of panoramic videos are all very high, this also gives present video coding algorithm to bring
Greatly challenge.So in order to preferably handle this kind of video, the Video Coding Experts Group (Video of International Telecommunication Union
Coding Experts Group, VCEG) and dynamic image expert group (Moving Picture Experts Group, MPEG)
The newest video encoding standard of cooperative research and development, Multifunction video coding standard (VVC).It is relative to previous generation Video coding mark
For quasi- HEVC, there are very various improvement.In terms of coding structure: drawing on the basis of quad-tree partition model in HEVC
Enter four forks-y-bend partitioning model, can adapt to more complicated image texture, improves code efficiency.In addition in inter-prediction
Aspect: also improve and introduce many new technologies, including local illumination compensation (Local Illumination
Compensation, LIC), two kinds of new Merge modes: Affine Merge and FRUC Merge.It also joined simultaneously
Fast algorithm, such as when carrying out intra prediction inspection to inter-frame video frame, it, then can direct skipped frame when meeting skip condition
Interior prediction detection, accelerates coding rate.The introducing of new technology due to the change of coding structure and in frame and in interframe encode,
On the one hand code efficiency is improved, but also results in the rising of encoder computation complexity.So if wanting to apply VVC
To in actual business scenario, first have to do seeks to optimize its encoder.
The interframe encode process of the general-utility test platform JEM7.0 of VVC are as follows: first to current maximum coding unit, from depth
Degree 0 starts, and the layer-by-layer coding unit to different coding depth carries out the inspection of prediction mode, selects every under each coding depth
The optimal prediction mode of a coding unit.Then it selects the comparison based on rate distortion costs is carried out in all coding depths
Final coding unit division mode.Therefore it needs to attempt a variety of different inter-frame forecast modes and different coding units is drawn
The mode of dividing, this just brings high computation complexity to encoder.And also there are some investigators to VVC and HEVC at present
Interframe encode complexity be optimized, and achieve certain effect.Such as document 1 (K.Choi, S.H.Park, and
E.S.Jang, Coding tree pruning based CU early termination, JCTVC-F092,2011.) in mention
A kind of algorithm of coding unit division high-speed decision is gone out, the document is by statistical analysis discovery, if in inter prediction encoding
Current optimal prediction modes are SKIP (a kind of special Merge mode) in the process, then current coded unit is divided into most
Excellent probability is more than 95%.Therefore the document using optimal prediction modes whether be SKIP as condition come judge current coded unit draw
Whether can in advance terminate, so that high-speed decision goes out the optimal division size of coding unit if dividing.Document 2 (X.L.Shen, Y.Lu, CU
splitting early termination based on weighted SVM[J],Eurasip Journal on
Image&Video Processing, 2013 (1): 1-11,2013.) then it is based on support vector machines (Support Vector
Machine, SVM), according to the information architectures such as coding unit pixel gradient information, rate distortion costs and block coding mark point
Whether class device carrys out decision current coded unit, which continues recurrence, divides downwards.Document 3 (M.Xu, T.Li, Z.Wang, X.Deng,
R.Yang and Z.Guan,Reducing Complexity of HEVC:A Deep Learning Approach,in
IEEE Transactions on Image Processing, vol.27, no.10, pp.5044-5059, Oct.2018.) then
Convolutional neural networks (Convolutional Neural Networks, CNN) and shot and long term memory network are used based on HEVC
(Long Short-Term Memory, LSTM) passes through the correlation of analysis of encoding dividing elements depth in the time domain.Because when
Closer on domain, then the similitude that its coding unit divides depth may be higher.The document, will by building interframe training set
Coding unit residual error inputs CNN, divides the correlation in depth in coding unit using LSTM study before and after frames to compile to current
The division of code unit carries out look-ahead.
Summary of the invention
Shift to an earlier date decision the purpose of the present invention is to provide a kind of VVC interframe encode unit prediction mode and block division shifts to an earlier date
Terminating method, by the motion change between analysis video frame, by being each pre- in 1 interframe encode unit to coding depth
Inter-frame forecast mode in the comparison of rate distortion costs and selected optimization model and next code depth between survey mode
The comparison of the Coding cost of (Inter_2N × 2N) is directly skipped qualified coding unit and is compiled to inter-frame forecast mode
The inspection of code cost, to reduce computation complexity.In addition also by coding unit present encoding depth and it is selected most
The ratio relation of rate distortion costs predicts the optimal dividing of current coded unit between excellent prediction mode and each prediction mode
Size, by the termination in advance divided to coding unit, come the recurrence partition process for avoiding computation complexity high, to reduce
The computation complexity of its encoder can effectively reduce encoder under the premise of having little influence on video encoding quality
Time-consuming improves code efficiency.
Technical solution of the present invention:
(1) when carrying out the selection of interframe encode unit prediction mode, in the coding unit that depth is 1, according to selected
Rate between optimal prediction modes and current Merge prediction mode and inter-frame forecast mode (Inter_2N × 2N) is distorted generation
The relationship of valence comes whether decision skips inter-frame forecast mode in next code unit.
(2) when carrying out interframe encode cell block division decision, final coding depth and the institute of coding unit have been counted first
Relationship between the optimal prediction modes of selection, both statistical result showeds have very strong correlation.Therefore we are based on again
To the ratio MI of the rate distortion costs of each prediction moderateCome whether aid decision needs the division to current coded unit to carry out
It terminates.MIrateCalculating such as formula (1) shown in, wherein MergeRDCWhat is indicated is that current coded unit uses Merge prediction mould
The rate distortion costs of formula, InterRDCThen indicate it is the rate distortion costs using inter-frame forecast mode (Inter_2N × 2N).
Using the above scheme, the beneficial effects of the present invention are:
1. the present invention is meeting item by the comparison to inter-frame forecast mode rate distortion costs size under different coding depth
The inspection of inter-frame forecast mode will be skipped in the coding unit of part, to remove the redundant computation in pattern search, reduces it
Computation complexity.
2. the present invention by different types of video sequence between coding depth and its optimal prediction modes it is existing
Correlation is analyzed, and finding the ratio of its rate distortion costs between different prediction modes, there are certain correlations, thus
The recurrence for quickly terminating current coded unit divides.
3. the present invention has comprehensively considered the characteristics of 360 degree of panoramic videos, can effectively reduce in prediction mode search and
Redundant computation present in coding unit optimal dividing mode decision, so as in the premise of hardly loss coding quality
Under, improve the code efficiency of VVC encoder.
Detailed description of the invention
Fig. 1 is the case where each layer inter-frame forecast mode rate distortion costs compare under different coding depths.
Fig. 2 is the percentage that coding unit selects Merge as optimal prediction modes under different coding depths.
Fig. 3 is final experimental result and compares with canonical algorithm.
Fig. 4 is the overall flow figure of VVC interframe fast algorithm of the present invention.
Specific embodiment
Main idea is that using motion change relationship between video frame, by interframe under different coding depth
The comparison of the Coding cost of prediction mode decides whether to skip the inspection under next code depth to inter-frame forecast mode.In addition
By the ratio relation to optimal prediction modes selected in coding unit and different prediction mode rate distortion costs come to working as
The division of preceding coding unit is terminated in advance.The computation complexity of VVC interframe encode is reduced by the optimization of these two aspects.
Test video sequence used in the embodiment of the present invention is that (resolution ratio: 3840 × 1920), original video is mp4 to 4K video
Format is handled to use after YUV420 format, and video is from (https://zy.dmgeek.com/c/vrshipin).
The present invention has counted to work as first has selected Merge for optimal prediction modes in the coding unit that coding depth is 1,
When using inter-frame forecast mode under subsequent each coding depth, the otherness of rate distortion costs between each encoded hierarchy.Statistical result
Fig. 1 is participated in, wherein RDCdepth, depth=0 ..., 5 indicate current maximum coding unit (Largest Coding Unit,
LCU each all coding units of layer are summed up using the rate distortion costs of inter-frame forecast mode under each coding depth in).RDCskipFor
Whether the threshold value of subsequent inter-frame forecast mode is skipped.As can be seen that when coding depth be 1 coding unit selected Merge for
Optimal prediction modes, the cycle tests different for four, subsequent inter-frame forecast mode averagely only have 0.72% ratio regular meeting
Better than RDC1×RDCskip(0.923).That is, if depth be 1 coding unit in, if current Merge is predicted
The rate distortion costs of mode are less than 0.923 times of inter-frame forecast mode, then carrying out in subsequent coding unit more fine
Motion search process also hardly be more than current Merge prediction mode encoding efficiency.
We have also counted under different coding depths simultaneously, stroke of selected optimal prediction modes and coding unit
Divide the relationship between depth, statistical result such as Fig. 2.From statistical result it can be seen that when coding depth is 0, it is average there are about
98.04% interframe encode Unit selection Merge is optimal prediction modes.And when coding depth is 1, this ratio is
77.07%.This illustrates that the selected optimal prediction modes of interframe encode unit and its no continuation recurrence division have biggish pass
System, therefore the continuation recurrence that can terminate interframe coding unit in advance accordingly divides.
Based on technical solution of the present invention thought, and the present invention is described further for the flow chart in conjunction with shown in attached drawing 4.
Step 1: the general-utility test platform JEM7.0 based on VVC.Start after encoding a LCU, first determines whether current volume
Code depth (is initially 0, every recurrence divides first encoding depth and adds 1).2 are gone to step if coding depth is 0, is otherwise gone to step
4。
Step 2: whether the optimal prediction modes for judging current coded unit are Merge, if it is go to step 3, otherwise
Go to step 9.
Step 3: calculating MIrateIf MIrate< MIThreshold(when coding depth is 0 and 1, MIThresholdRespectively
0.63 and 0.95), then stop current coded unit and continue to divide downwards, otherwise goes to step 9.
Step 4: if present encoding depth is 1, going to step 5, otherwise go to step 7.
Step 5: obtaining the rate distortion costs RDC of Merge prediction modemergeAnd the rate distortion costs of inter-frame forecast mode
RDC1, and RDC is setskip=0.923.Go to step 6.
Step 6: if RDCmerge< RDC1×RDCskip, variable SkipInter is set as true.Otherwise 3 are gone to step.
Step 7: checking whether variable SkipInter is true.If it is true, skip pre- to interframe in present encoding depth
The inspection of survey mode, otherwise goes to step 8.
Step 8: continuing to carry out according to JEM7.0 normal process.
Step 9: continuing to carry out the coding until terminating current LCU according to JEM7.0 normal process.
Finally, verified based on JEM7.0 platform to the fast algorithm proposed in the present invention, and with canonical algorithm into
Comparison is gone.It can be seen that can averagely save for 30.34% scramble time in the case where non-loss coding efficiency substantially,
Statistical result is referring to Fig. 3.
Foregoing description is only the description to present pre-ferred embodiments, is not any restriction to the scope of the invention.Appoint
Any change or modification what those skilled in the art makes according to the technology contents of the disclosure above should all regard
For equivalent effective embodiment, the range of technical solution of the present invention protection is belonged to.
Claims (2)
1. a kind of VVC interframe encode unit prediction mode shifts to an earlier date decision and block divides and shifts to an earlier date terminating method, it is characterised in that packet
It includes:
(1) when carrying out the selection of interframe encode unit prediction mode, in the coding unit that depth is 1, according to selected optimal
Rate distortion costs between prediction mode and current Merge prediction mode and inter-frame forecast mode (Inter_2N × 2N)
Relationship comes whether decision skips inter-frame forecast mode in next code unit；
(2) when carrying out interframe encode cell block and dividing decision, the final coding depth of statistical coding unit and selected first
Relationship between optimal prediction modes, both statistical result showeds have very strong correlation；It is then based on to each prediction mode
Rate distortion costs ratio MIrateCome whether aid decision needs to terminate the division of current coded unit；
MIrateCalculating it is as follows:
Wherein, MergeRDCThat indicate is the rate distortion costs that current coded unit uses Merge prediction mode, InterRDCThen table
Show it is rate distortion costs using inter-frame forecast mode (Inter_2N × 2N).
2. a kind of VVC interframe encode unit prediction mode according to claim 1 shifts to an earlier date decision and block divides and shifts to an earlier date eventually
Only method, which is characterized in that specifically comprise the following steps:
Step 1: the general-utility test platform JEM7.0 based on VVC starts after encoding a LCU, first determines whether that current coding is deep
Degree is initially 0, and every recurrence divides first encoding depth and adds 1, goes to step 2 if coding depth is 0, otherwise goes to step 4；
Step 2: whether the optimal prediction modes for judging current coded unit are Merge, if it is go to step 3, otherwise turn to walk
Rapid 9；
Step 3: calculating MIrateIf MIrate<MIThreshold, when coding depth is 0 and 1, MIThresholdRespectively 0.63 He
0.95, then stop current coded unit and continue to divide downwards, otherwise goes to step 9；
Step 4: if present encoding depth is 1, going to step 5, otherwise go to step 7；
Step 5: obtaining the rate distortion costs RDC of Merge prediction modemergeAnd the rate distortion costs of inter-frame forecast mode
RDC1, and RDC is setskip=0.923, go to step 6；
Step 6: if RDCmerge<RDC1×RDCskip, variable SkipInter is set as very, otherwise to go to step 3；
Step 7: check variable SkipInter whether be it is true, if it is true, skip in present encoding depth to inter-prediction mould
The inspection of formula, otherwise goes to step 8；
Step 8: continuing to carry out according to JEM7.0 normal process；
Step 9: continuing to carry out the coding until terminating current LCU according to JEM7.0 normal process.
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| CN111147867A (en) * | 2019-12-18 | 2020-05-12 | 重庆邮电大学 | Multifunctional video coding CU partition rapid decision-making method and storage medium |
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| CN111263145A (en) * | 2020-01-17 | 2020-06-09 | 福州大学 | Multifunctional video rapid coding method based on deep neural network |
| CN111246219A (en) * | 2020-01-17 | 2020-06-05 | 南华大学 | Quick dividing method for depth of CU (Central Unit) in VVC (variable valve timing) frame |
| CN111263145B (en) * | 2020-01-17 | 2022-03-22 | 福州大学 | Multifunctional video rapid coding method based on deep neural network |
| CN111372079B (en) * | 2020-03-11 | 2021-01-22 | 南华大学 | VVC inter-frame CU deep rapid dividing method |
| CN111372079A (en) * | 2020-03-11 | 2020-07-03 | 南华大学 | VVC inter-frame CU deep rapid dividing method |
| CN111614960A (en) * | 2020-05-25 | 2020-09-01 | 绍兴文理学院 | Quick coding and decoding method for frame level division according to image content characteristics |
| CN111698502A (en) * | 2020-06-19 | 2020-09-22 | 中南大学 | VVC (variable visual code) -based affine motion estimation acceleration method and device and storage medium |
| CN114449273A (en) * | 2020-11-06 | 2022-05-06 | 北京大学 | HEVC-based enhanced block partitioning search method and device |
| CN113225552A (en) * | 2021-05-12 | 2021-08-06 | 天津大学 | Intelligent rapid interframe coding method |
| CN113225552B (en) * | 2021-05-12 | 2022-04-29 | 天津大学 | Intelligent rapid interframe coding method |
| CN113573066A (en) * | 2021-07-07 | 2021-10-29 | 网宿科技股份有限公司 | Video coding method and device |
| CN114520914A (en) * | 2022-02-25 | 2022-05-20 | 重庆邮电大学 | SHVC (scalable high-resolution video coding) -quality-based scalable interframe video coding method |
| CN114513660A (en) * | 2022-04-19 | 2022-05-17 | 宁波康达凯能医疗科技有限公司 | Interframe image mode decision method based on convolutional neural network |
| CN117319679A (en) * | 2023-07-20 | 2023-12-29 | 南通大学 | HEVC (high efficiency video coding) inter-frame rapid coding method based on long-short-time memory network |
| CN118018740A (en) * | 2024-02-26 | 2024-05-10 | 重庆邮电大学 | 360-Degree video inter-frame mode decision method based on deep learning |
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